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Development Programming Languages Python

Concurrent Programming in Python

Harness the power of modern code structures with Python to improve performance and flexibility
Rating: 3.2 out of 53.2 (9 ratings)
65 students
Created by Packt Publishing
Last updated 3/2018
English
English [Auto]
30-Day Money-Back Guarantee

What you'll learn

  • Increase your awareness of concurrency in Python
  • Distinguish between parallel programming and concurrent programming
  • Explore Python's threading module
  • Familiarize yourself with Python's Global Interpreter Lock (GIL)
  • Master the similarities between thread and process management
  • Practice with open source Libraries
  • Learn process synchronization and inter-process communication
  • Work with best practices and caveats

Course content

6 sections • 25 lectures • 2h 20m total length

  • Preview06:26
  • Advanced OSes and Programming Environments
    08:19
  • Concurrency Versus Parallelism with Examples
    02:24
  • Operating System’s Building Blocks of Parallel Execution
    02:20
  • Libraries in Python Used to Achieve Concurrency and Parallelism
    02:20
  • Python’s Global Interpreter Lock (GIL)
    06:28

  • Preview02:44
  • Creating Threads
    10:19
  • Managing Threads
    07:05

  • Preview05:56
  • Using Synchronization Primitives
    05:14
  • Producer–Consumer Pattern
    06:09
  • Using Python Queue Module
    04:30
  • Multithreading in GUI Programming
    03:29

  • Limitations Imposed by GIL
    04:49
  • Multiprocessing
    11:31
  • Similarities Between Thread and Process Management
    03:20
  • Difference Between Thread and Process Management
    08:15
  • Libraries for Practice
    04:21

  • Process Synchronization
    07:11
  • Inter-Process Communication
    06:53
  • Best Practices and Anti-Patterns
    03:53

  • Pool of Workers for Maximizing Usage of the Hardware
    05:06
  • When and How to Use a Pool of Workers
    05:04
  • Best Practices and Anti-Patterns
    06:04

Requirements

  • Basic knowledge on python programing

Description

In this course, you will skill-up with techniques related to various aspects of concurrent programming in Python, including common thread programming techniques and approaches to parallel processing.

Filled with examples, this course will show you all you need to know to start using concurrency in Python. You will learn about the principal approaches to concurrency that Python has to offer, including libraries and tools needed to exploit the performance of your processor. Learn the basic theory and history of parallelism and choose the best approach when it comes to parallel processing.

After taking this course you will have gained an in-depth knowledge of using threads and processes with the help of real-world examples.

About the Author

BignumWorks Software LLP is an India-based software consultancy that provides consultancy services in the area of software development and technical training. Our domain expertise includes web, mobile, cloud app development, data science projects, in-house software training services, and up-skilling services

Who this course is for:

  • Python developers who want to learn how to write concurrent applications to speed up the execution of their programs, and to provide interactivity for users, will greatly benefit from this course.

Instructor

Packt Publishing
Tech Knowledge in Motion
Packt Publishing
  • 3.9 Instructor Rating
  • 59,107 Reviews
  • 354,536 Students
  • 1,418 Courses

Packt has been committed to developer learning since 2004. A lot has changed in software since then - but Packt has remained responsive to these changes, continuing to look forward at the trends and tools defining the way we work and live. And how to put them to work.

With an extensive library of content - more than 4000 books and video courses -Packt's mission is to help developers stay relevant in a rapidly changing world. From new web frameworks and programming languages, to cutting edge data analytics, and DevOps, Packt takes software professionals in every field to what's important to them now.

From skills that will help you to develop and future proof your career to immediate solutions to every day tech challenges, Packt is a go-to resource to make you a better, smarter developer.

Packt Udemy courses continue this tradition, bringing you comprehensive yet concise video courses straight from the experts.



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